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The Validity and Credibility of Crowdsourced Fact-checking : 크라우드소싱을 이용한 팩트체킹의 유효성과 신뢰도

DC Field Value Language
dc.contributor.advisor이준환-
dc.contributor.author홍나희-
dc.date.accessioned2017-07-19T12:19:19Z-
dc.date.available2017-07-19T12:19:19Z-
dc.date.issued2017-02-
dc.identifier.other000000141447-
dc.identifier.urihttps://hdl.handle.net/10371/134329-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 언론정보학과, 2017. 2. 이준환.-
dc.description.abstractDemand of fact-checking has increased together with the amount of information. However, fact-checking is often neglected due to lack of time and labor source. Also, development of digital technology has contributed to the acceleration of information spread. As online information is overabundant, it is difficult for professional journalists to fact-check all information before publishing it. Many researchers are developing algorithms for fact-checking, but they are not practical yet. In order to assist those deficiencies of fact-checking algorithms, collective intelligence was considered as an alternative method. With the help from the public, journalists collect, classify, and analyze data, and also widen their perspectives.
This research aims to examine the validity of crowdsourced fact-checking and its credibility level compared to professional journalism fact-checking results. Also, the interface elements to enhance credibility of crowdsourced fact-checking results were observed. The results show that crowdsourced fact-checking process is promising except for ambiguous and partially true claims. The Mechanical Turk workers provided their deliberate opinions and critical evidence. Their rationale implies the possibility of public discussion and their capability of narrowing down broad statements to verifiable sentences. The credibility level of traditional journalism fact-checking was generally higher than crowdsourced results but for certain categories crowdsourced condition had a higher credibility level due to the features of social media. Moreover, the reputation of the user was more influential to the credibility than social information disclosure level. The findings from current research implies the future design of fact-checking platform and how could the current fact-checking algorithms could benefit from the collective intelligence.
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dc.description.tableofcontents1. Introduction 1

2. Related Work 12
2.1 Journalism in Digital Environment 12
2.2 Fact-Checking 19
2.2.1 Journalism and Fact-Checking 19
2.2.2 Automated Fact-Checking Algorithms 24
2.2.3 Crowdsourced Fact-Checking 27
2.3 Credibility of Online Information 32
2.3.1 Media Credibility 32
2.3.2 Source Credibility 36

3. Research Methods 43
3.1 Validity of Crowdsourced Fact-Checking 43
3.2 Perceived Credibility of Crowdsourced Fact-Checking 47
3.3 Designing Online Platform Elements 58


4. Results 64
4.1 Validity of Crowdsourced Fact-Checking 64
4.2 Perceived Credibility of Crowdsourced Fact-Checking 69
4.2.1 Overall Perceived Credibility 69
4.2.2 Credibility Difference Between Traditional Media Style and Social Media Style 73
4.3 Designing Online Platform Elements 79

5. Discussion 83
5.1 Possibility of Public Discussion 83
5.2 Design Implications 87
5.3 Limitations and Future Studies 89

6. Conclusions 91

References 93

국문초록 106
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dc.formatapplication/pdf-
dc.format.extent1383059 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectfact-checking-
dc.subjectcrowdsourcing-
dc.subjectjournalism-
dc.subjectcredibility-
dc.subjectonline information-
dc.subjectdigital media-
dc.subjectcollective intelligence-
dc.subject.ddc070-
dc.titleThe Validity and Credibility of Crowdsourced Fact-checking-
dc.title.alternative크라우드소싱을 이용한 팩트체킹의 유효성과 신뢰도-
dc.typeThesis-
dc.description.degreeMaster-
dc.citation.pagesvi, 108-
dc.contributor.affiliation사회과학대학 언론정보학과-
dc.date.awarded2017-02-
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